STAT202-23S2 (C) Semester Two 2023

Regression Modelling

15 points

Details:
Start Date: Monday, 17 July 2023
End Date: Sunday, 12 November 2023
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 30 July 2023
  • Without academic penalty (including no fee refund): Sunday, 1 October 2023

Description

Regression models are the most widely used statistical tools for examining the relationships among variables. This course will provide a practical introduction to the fundamentals of regression modelling.

This course is of interest to anyone majoring in statistics and forestry, as well as students from other disciplines (e.g. biology, commerce, etc.) who want to increase the breadth of their statistical knowledge base.

Regression models are the most widely used statistical tools for examining the relationships among variables. We cover the core concepts in regression modelling, with an emphasis on problem solving as applied to real data. We use R, one of the mostly widely used statistical packages, but no prior knowledge of R is assumed.

Learning Outcomes

  • On completing this course you will
  • be able to analyze data using simple and multiple regression models as well as logistic regression
  • understand the relationship between regression and ANOVA
  • understand diagnostics for testing modelling assumptions
  • understand methods for model selection
  • be able to interpret computer output, and be able to write reports that analyse data and interpret computer output

Prerequisites

STAT101 or DATA101 or 15 points from 100-level MATH or EMTH (excluding MATH110)

Restrictions

FORE210, STAT220, FORE224, STAT224

Timetable 2023

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Wednesday 11:00 - 12:00 Meremere 108 Lecture Theatre
17 Jul - 27 Aug
11 Sep - 22 Oct
Lecture B
Activity Day Time Location Weeks
01 Monday 10:00 - 11:00 E5 Lecture Theatre
17 Jul - 27 Aug
11 Sep - 22 Oct
Lecture C
Activity Day Time Location Weeks
01 Friday 10:00 - 11:00 Meremere 108 Lecture Theatre
17 Jul - 27 Aug
11 Sep - 22 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Thursday 16:00 - 17:00 Ernest Rutherford 212 Computer Lab
17 Jul - 27 Aug
11 Sep - 22 Oct
02 Thursday 15:00 - 16:00 Jack Erskine 248 Computer Lab
17 Jul - 27 Aug
11 Sep - 22 Oct
03 Thursday 14:00 - 15:00 Jack Erskine 248 Computer Lab
17 Jul - 27 Aug
11 Sep - 22 Oct

Course Coordinator

Luis Apiolaza

Lecturer

Jenny Harlow

Indicative Fees

Domestic fee $824.00

International fee $4,750.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Mathematics and Statistics .

All STAT202 Occurrences

  • STAT202-23S2 (C) Semester Two 2023